Multilingual Intent Recognition

3. The computer-implemented method of claim 1, wherein the limited amount of speech to text training data comprises a single language and interpreted intent and associated entities from voice in the single language.

4. The computer-implemented method of claim 1, wherein the limited amount of speech to text training data comprises a single language drawn from different datasets comprises a dataset collected to model dialog states and a dataset of voice commands.

6. The computer-implemented method of claim 1, wherein speech to text training data represents a set of layers of a neural network comprising a set of nodes with each layer connected to other layers in the set of layers via respective weighted connections.

10. The computer program product of claim 8, wherein the limited amount of speech to text training data comprises a single language and interpreted intent and associated entities from voice in the single language.

11. The computer program product of claim 8, wherein the limited amount of speech to text training data comprises a single language drawn from different datasets comprises a dataset collected to model dialog states and a dataset of voice commands.

13. The computer program product of claim 8, wherein speech to text training data represents a set of layers of a neural network comprising a set of nodes with each layer connected to other layers in the set of layers via respective weighted connections.

16. The computer system of claim 14, wherein the limited amount of speech to text training data comprises a single language and interpreted intent and associated entities from voice in the single language.

17. The computer system of claim 14, wherein the limited amount of speech to text training data comprises a single language drawn from different datasets comprises a dataset collected to model dialog states and a dataset of voice commands.